Dataset Versions
Versions
2023-11-25 6:03pm
v11
· a year ago
2023-11-25 10:38am
v10
· a year ago
2023-11-23 11:15pm
v9
· a year ago
2023-11-23 10:21am
v8
· a year ago
2023-11-22 10:56pm
v7
· a year ago
2023-11-22 10:54pm
v6
· a year ago
2023-11-22 10:29pm
v5
· a year ago
2023-11-22 4:40pm
v4
· a year ago
2023-11-21 6:33pm
v3
· a year ago
2023-11-21 6:18pm
v2
· a year ago
2023-11-21 6:12pm
v1
· a year ago
v5
2023-11-22 10:29pm
Generated on Nov 23, 2023
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
840 Total Images
View All Images
Dataset Split
Train Set 93%
780Images
Valid Set 7%
60Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -15% and +15%
Blur: Up to 1.5px
Cutout: 5 boxes with 10% size each
Mosaic: Applied
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Blur: Up to 1.5px